Methodology Development for Assessing Automatic Emergency Braking Systems, Taking into Account Accidents Statistics Analysis with Unprotected Road Users

Abstract According to the analysis by the National Police Headquarters, roughly 40% of all road accident victims in Poland are vulnerable road users (VRU), i.e. pedestrians and cyclists. Their protection has become one of the priorities for action regarding road safety. For this purpose, various activities are carried out aimed not only at human behaviour or the development of modern and safe road infrastructures but also at the development of modern vehicles, including advanced driver assistance systems (ADAS). In order to identify the limitations of the currently available driver assistance systems, designed to respond to VRU, research was carried out under the project name, “PEDICRASH: Safety aspects of VRU in CAD automated vehicles.” The project was aimed at increasing users’ awareness (both pedestrians and drivers) of the limitations of ADAS by analysing barriers and indicating recommendations allowing for more effective protection of pedestrians and cyclists due to the identified operating limitations of these systems. The research focused on the autonomous emergency braking (AEB) system and its potential impact on the level of road safety, with particular emphasis on VRU.

Download Full-text

Modeling driver behavior in interactions with other road users

10.31234/osf.io/wu4z9 ◽

2020 ◽

Author(s):

Prateek Thalya ◽

Jordanka Kovaceva ◽

Alessia Knauss ◽

Nils Lubbe ◽

Marco Dozza

Keyword(s):

Unified Modeling Language ◽

Modeling Framework ◽

Unified Modeling ◽

Scenario Modeling ◽

Emergency Braking ◽

Road Users ◽

Oncoming Vehicle ◽

Road Crash ◽

Driving Scenario ◽

System Activation

Driver models help improve and evaluate systems for road crash mitigation and avoidance. As systems develop and address increasingly complex scenarios. Driver models also need to be developed to be able to account for the interactions among these road users. Even as we improve driver modeling with control-theory models and actual data-driven implementations, existing driver models fail to sufficiently take interaction among road users into consideration. This paper addresses this insufficiency by proposing a new operational framework to computationally model interactions among road users. For this purpose, we introduce a definition for interaction among road users. The modeling framework is demonstrated by a specific driving scenario: the overtaking of a cyclist when an oncoming vehicle may be present. In this scenario, modeling driver interaction using Unified modeling language within our framework can lead to improved crash mitigation and avoidance through tailored system activation of automated emergency braking

Download Full-text

Examining Impact of Risks and Interventions in Populations: Creating an Agenda for Methodology Development and Policy Interaction

PsycEXTRA Dataset ◽

10.1037/e509012013-132 ◽

2004 ◽

Author(s):

Cam Mustard

Keyword(s):

Methodology Development ◽

Policy Interaction

Download Full-text

An empirical investigation of a dynamic brake light concept for reduction of rear-end collision accidents during emergency braking

PsycEXTRA Dataset ◽

10.1037/e577512012-012 ◽

2005 ◽

Author(s):

Zhonghai Li ◽

Paul Milgram

Keyword(s):

Empirical Investigation ◽

Emergency Braking ◽

Brake Light

Download Full-text

Towards Systematization

Methods of Information in Medicine ◽

10.1055/s-0038-1636655 ◽

1977 ◽

Vol 16 (03) ◽

pp. 125-130 ◽

Cited By ~ 19

Author(s):

P. L. Reichertz

Keyword(s):

Clinical Medicine ◽

Medical Science ◽

User Involvement ◽

Empirical Science ◽

Target System ◽

General Strategy ◽

System Construction ◽

Formal Approach ◽

Methodology Development ◽

Planning Development

Data processing has become an important tool in theoretical and clinical medicine. The main categories of applications are : information analysis, (bio)signal processing and the field of information logistics (information systems).The problems encountered lie in the discrepancy of the basic methods of a formal approach to an empirical science, the complexity of the target system and the system ecology, i.e. the involvement of the user and the system environment during system construction and utilization.Possible solutions to these problems are the application of system techniques, inductive planning, development of medical methodology, development of methods and techniques for user involvement and assessment of motivation and education and educational planning.The necessary general strategy in the development in medical informatics is seen in the continuing systematization of the theoretical and practical approach. It is estimated that this will eventually contribute to the systematization of medical science and practice.

Download Full-text